Publications [Cumulative Impact Factor as per JCR: 183.0]

I. Book chapter

1). Pratap Anbalagan, R.Raja, E.Hincal, Finite-time synchronization of discontinuous fractional order Cohen-Grossberg memristive neural networks with discrete delays under sliding mode control strategy, Chapter-8, Fractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing, and Control, Volume-2, doi:10.1016/B978-032-330089-8.00013-1, (2021), [Elsevier Publication].

II. Single/Corresponding-author Research Articles

2). A. Stephen and Pratap Anbalagan, Disturbance observer-based integral sliding-mode control design for leader-following consensus of multi-agent systems and its application to car-following model, Chaos, Solitons & Fractals, 174, 113733, 2023, [Elsevier Publication, IF: 5.3].

1). Pratap Anbalagan, Delay-independent stability criteria for fractional order time-delayed gene regulatory networks in terms of Mittag-Leffler function, Chinese Journal of Physics, 77, (2022), 845-860, [Elsevier Publication, IF: 4.6].

III. First-author Research Articles

29). Pratap Anbalagan, J.H. Jeong, Y.H.Joo, Takagi-Sugeno fuzzy sampled-data observer design for nonlinear permanent magnet synchronous generator-based wind turbine systems using auxiliary function-based integral inequality technique, Information Sciences, 680, 121151, 2024, [Elsevier Publication, IF. 8.1].

28). Pratap Anbalagan, J.H. Jeong, Y.H.Joo, Secure reachable set synthesis and reliable event-driven mechanism for T-S fuzzy semi-Markovian networked control systems against deception attacks, Transactions on Fuzzy Systems, 32(7), 3928-3942, 2024, [IEEE Publication, IF. 10.7].

27). Pratap Anbalagan, Y.H.Joo, Memory sampled-data control for interval type-2 fuzzy networked systems subjected to deception attacks via dynamic fragmentation approach, Journal of the Franklin Institute, 361, 106680, 2024, [Elsevier Publication, IF: 3.7].

26). Pratap Anbalagan, Y.H.Joo, Fuzzy membership-function-dependent design of aperiodic sample-data control scheme for nonlinear PMSG-based WECS with quantization measurements via refined looped Lyapunov functional, Information Sciences, 661, 120149, 2024, [Elsevier Publication, IF. 8.1].

25). Pratap Anbalagan, Y.H.Joo, Nonfragile sampled-data control for interval type-2 fuzzy modeling of permanent magnet synchronous generator-based wind turbine systems, Transactions on Systems, Man and Cybernetics: Systems, 54(4), 2426-2439, 2024, [IEEE Publication, IF. 8.6].

24). Pratap Anbalagan, Y.H.Joo, Reachable set estimate performance and stochastic aperiodic sampling mechanism design for T-S fuzzy systems: Its application to wind turbine system, Transactions on Fuzzy Systems, 32(4), 1900-1914, 2024, [IEEE Publication, IF. 10.7].

23). Pratap Anbalagan, Y.H.Joo, Stabilization analysis of fractional-order nonlinear permanent magnet synchronous motor model via interval type-2 fuzzy memory-based fault-tolerant control scheme, ISA Transactions, 142, 310-324, 2023, [Elsevier Publication, IF. 6.3].

22). Pratap Anbalagan, Y.H.Joo, Dissipative-based sampled-data control for T-S fuzzy wind turbine system via fragmented-delayed state looped functional approach, 111, 2463–2486, 2023, Nonlinear Dynamics, [Springer Publication, IF: 5.2].

21). Pratap Anbalagan, Y.H.Joo, Adaptive integral sliding-mode control for fractional-order T-S fuzzy systems and its applications, 359 (16), 8819-8847, Journal of the Franklin Institute, 2022, [Elsevier Publication, IF: 3.7].

20). Pratap Anbalagan, R.Raja, J. Cao, C. Huang, J.Alzabut, O. Bagdasar, Further result on O(t−β )-synchronization and asymptotic synchronization of mixed time delayed fractional-order BAM neural networks with non-identical perturbations, Acta Mathematica Scientia, 2022, 42B(4), 1273–1292, [Springer Publication, IF: 1.2].

19). Pratap Anbalagan, R.Raja, J.Alzabut, E.Hincal, M. Niezabitowski, Improved results on finite time passivity and synchronization problem for fractional order memristor based competitive neural networks: Interval matrix approach, Fractal and Fractional, 6(1), (2022), 36, [MDPI Publication, IF: 3.6].

18). Pratap Anbalagan, R.Raja, R.P.Agarwal, J.Alzabut, M.Niezabitowski, E.Hincal, Further results on asymptotic and finite-time stability analysis of fractional-order time-delayed genetic regulatory networks, Neurocomputing, 475, (2022), 26-37, [Elsevier Publication, IF: 5.5].

17). Pratap Anbalagan, R.Raja, E.Hincal, D.Baleanu, J. Cao, M. Niezabitowski, An asymptotic state estimator design and synchronization criteria for fractional order time-delayed genetic regulatory networks, Asian Journal of Control, 24(6), (2022), 3163-3174, [Wiley Publication, IF. 2.7].

16). Pratap Anbalagan, R.Raja, E.Hincal, D.Baleanu, J. Cao, M. Niezabitowski, A Razumikhin approach to stability and synchronization criteria for fractional order time-delayed gene regulatory networks, AIMS Mathematics, 6(5), (2021), 4526-455, [AIMS Publication, IF. 1.8].

15). Pratap Anbalagan, E. Hincal, R.Raja, D. Baleanu, J.Cao, C.Huang, M.Niezabitowski, Delay-coupled fractional-order complex Cohen-Grossberg neural networks under parameter uncertainty: Synchronization stability criteria, AIMS Mathematics, 6(3), (2021), 2844-2873, [AIMS Publication, IF. 1.8].

14). Pratap Anbalagan, R.Raja, J.Cao, C.Huang, M.Niezabitowski, O.Bagdasar, Stability of discrete-time fractional-order time-delayed neural networks in a complex field, Mathematical Methods in the applied sciences, 44(1), (2021), 419-440, [Wiley Publication, IF: 2.1].

13). Pratap Anbalagan, R.Raja, J. Alzabut, J.Cao, G.Rajchakit, C. Huang, Mittag-Leffler stability and adaptive impulsive synchronization of fractional order neural networks in quaternion field, Mathematical Methods in the Applied Sciences, 43(10) (2020) 6223-6253, [Wiley Publication, IF: 2.1].

12). Pratap Anbalagan, R.Raja, J.Cao, J.Alzabut, Finite-time synchronization criterion of graph theory perspective fractional order coupled discontinuous neural networks, Advances in Difference Equation, 97 (2020), [Springer Publication, IF: 3.1].

11). Pratap Anbalagan, R.Raja, R.P.Agarwal, J.Cao, O.Bagdasar, Multi-weighted complex structure on fractional order coupled neural networks with linear coupling delay: Robust synchronization analysis, Neural Processing Letters, 51 (2020) 2453-2473, [Springer Publication, IF: 2.6].

10). Pratap Anbalagan, R.Raja, J.Cao, F.A.Rihan, A.R.Seadawy, Quasi-pinning synchronization and stabilization of fractional order BAM neural networks with delays and discontinuous neuron activations, Chaos, Solitons & Fractals, 131 (2020) 109491, [Elsevier Publication, IF: 5.3].

9). Pratap Anbalagan, R.Raja, J.Alzabut, J.Dianavinnarasi, J.Cao, G.Rajchakit, Finite-Time Mittag-Leffler stability of fractional-Order quaternion-valued memristive neural networks with impulses, Neural Processing Letters, 51 (2020) 1485-1526, [Springer Publication, IF: 2.6].

8). Pratap Anbalagan, R.Raja, C.Sowmiya, O.Bagdasar, J.Cao, G.Rajchakit, Global projective lag synchronization of fractional order memristor-based BAM neural networks with mixed time-varying delays, Asian Journal of Control, 22(1) (2020) 570-583, [Wiley Publication, IF. 2.7].

7). Pratap Anbalagan, R.Raja, R.P. Agarwal, J.Cao, G.Rajchakit, G.Lu, Stability analysis and robust synchronization of fractional order competitive neural networks with different time scales and impulsive perturbations, International Journal of Adaptive Control and Signal Processing, 33 (11) (2019) 1635-1660, [Wiley Publication, IF: 3.9].

6). Pratap Anbalagan, R.Raja, G.Rajchakit, J.Cao, O.Bagdasar, Mittag-Leffler state estimator design and synchronization analysis for fractional order BAM neural networks with time delays, International Journal of Adaptive Control and Signal Processing, 33(5) (2019) 855-874, [Wiley Publication, IF: 3.9].

5). Pratap Anbalagan, R.Raja, J.Cao, G.Rajchakit, C.P.Lim, Global robust synchronization of fractional order complex-valued neural networks with mixed time-varying delays and impulses, International Journal of Control, Automation and Systems, 17(2) (2019) 509-520, [Springer Publication, IF: 2.5].

4). Pratap Anbalagan, R.Raja, J.Cao, C.P.Lim, O.Bagdasar, Stability and pinning synchronization analysis of fractional order delayed Cohen-Grossberg neural networks with discontinuous activations, Applied Mathematics and Computation, 359 (2019) 241-260, [Elsevier Publication, IF: 3.5].

3). Pratap Anbalagan, R.Raja, J.Cao, G.Rajchakit, H.M.Fardoun, Stability and synchronization analysis for a fractional order competitive neural networks with time delays: Asymptotic expansion of Mittag Leffler function, Journal of the Franklin Institute, 356 (2019) 2212-2239, [Elsevier Publication, IF: 3.7].

2). Pratap Anbalagan, R.Raja, C.Sowmiya, O.Bagdasar, J.Cao, Robust generalized Mittag- Leffler synchronization of fractional order neural networks with discontinuous activation and impulses, Neural Networks, 103 (2018) 128-141, [Elsevier Publication, IF: 6.0].

1). Pratap Anbalagan, R.Raja, U.Humphries, J.Cao, G.Rajchakit, F.Alsaadi, Further synchronization in finite time analysis for time-varying delay fractional-order memristive competitive neural networks with leakage delay, Neurocomputing, 317 (2018) 110-126, [Elsevier Publication, IF: 5.5].

IV. Co-author Research Articles

13). M. Mallikarjunan, T. Abdeljawad, Pratap Anbalagan, Impulsively fractional order time-delayed gene regulatory networks: Existence and asymptotic stability, (Accepted), Asian Journal of Control, [Wiley Publication, IF. 2.7].

12). A. Stephen, R. Raja, Pratap Anbalagan, Y. Cao, Synchronization for nonlinear multi-agent systems using non-fragile sampled-data control approach and its application to circuit system, Frontiers of Information Technology & Electronic Engineering, 24, (2023), 553–566, [Springer Publication, IF: 2.7].

11). M. Mallikarjunan, Pratap Anbalagan, Q. Mdallal, Robust uniform stability criteria for fractional order gene regulatory networks with leakage delays, Mathematical Methods in the applied sciences, 46(7), (2023), 8372-8389, [Wiley Publication, IF: 2.1].

10). M. Mallikarjunan, T. Abdeljawad, Pratap Anbalagan, Impulsively fractional order time-delayed gene regulatory networks: Existence and asymptotic stability, Chaos, Solitons & Fractals, (2022), 154, 111634 [Elsevier Publication, IF: 5.3].

9). J. Dianavinnarasi, J. Jency Mariyal, Pratap Anbalagan, Existence and Uniqueness of Climate-Based Periodic Chikungunya Fractional Order Model with Incubation Period, Journal of Environmental Accounting and Management, 10(1), (2021) 19-30, [SCOPUS, LH Scientific Publishing].

8). X. Hu, Pratap Anbalagan, Z. Zhang, Hopf bifurcation and global exponential stability of an epidemiological smoking model with time delay, Alexandria Engineering Journal, 61(3), (2022) 2096-2104, [Elsevier Publication, IF. 6.2].

7). G.Rajchakit, M.Niezabitowski, R.Raja, D.Baleanu, Pratap Anbalagan, Impulsive effects on stability and passivity analysis of memristor-based fractional competitive neural networks, Neurocomputing, 417 (2020) 290-301, [Elsevier Publication, IF: 5.5].

6). Z. Zhang, W. Zhang, Pratap Anbalagan, M. Mallikarjunan, Global dissipativity and adaptive synchronization for fractional-order time-delayed genetic regulatory networks, Asian Journal of Control, 24(6), (2022) 3289-3298, [Wiley Publication, IF. 2.7].

5). Y.Whang, A.Zeb, R.K.Upadhyay, Pratap Anbalagan, A delayed synthetic drug transmission model with two stages of addiction and Holling Type-II functional response, AIMS Mathematics, 6(1) (2020) 1-22, [AIMS Publication, IF: 1.8].

4). J.Zou, R.K.Upadhyay, Pratap Anbalagan, Zizhen Zhang, Dynamics of a delayed SIR model for the transmission of PRRSV among a swine population, Advances in Difference Equation, 351 (2020), [Springer Publication, IF: 3.1].

3). Z.Zhang, J.Zou, R.K.Upadhyay, Pratap Anbalagan, Stability and Hopf bifurcation analysis of a delayed tobacco smoking model containing snuffing class, Advances in Difference Equation, 349, (2020), [Springer Publication, IF: 3.1].

2). G.Rajchakit, Pratap Anbalagan, R.Raja, J.Cao, J.Alzhabut, C.Huang, Hybrid control scheme for projective lag synchronization of Riemann-Liouville type fractional order memristive BAM neural networks with mixed delays, 759(7) (2019) Mathematics, [MDPI Publication, IF. 2.3].

1). K.Balasundaram, R.Raja, Pratap Anbalagan, S.Chandrasekaran, Impulsive effects on competitive neural networks with mixed delays: Existence and exponential stability analysis, Mathematics and Computers in Simulation, 155 (2019) 290-302, [Elsevier Publication, IF: 4.4]

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